Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
English
Instructions to use ShibaDeveloper/olivia-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShibaDeveloper/olivia-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShibaDeveloper/olivia-v1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, detailed, intricate, elegant, highly detailed, digital painting, artstation, concept art, matte, sharp focus, illustration, by dan mumford, yusuke murata, makoto shinkai, ross tran" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
c8d4cca
1
Parent(s): 6a3fa43
Update text_encoder/config.json
Browse files- text_encoder/config.json +1 -1
text_encoder/config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModel"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "openai/clip-vit-large-patch14",
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModel"
|
| 5 |
],
|